Ironframe SMC Gold MT5 EA

Range-Bound Edition · EA Manual · v1.31 Architecture

Trade Gold With Verified Structure — And Automate the Execution

Most retail Expert Advisors execute from a single trigger: an indicator crossover, a moving average, or a simple pattern. Ironframe SMC Gold MT5 EA is designed differently. It converts a multi-layer Smart Money Concept framework into an automated execution workflow built around confirmed price-action structure, optional order-flow confirmation, options-market confluence, macro regime, and market sentiment.

The EA is based on the same core architecture as the Ironframe SMC Gold MT5 indicator. Instead of stopping at chart signals, the EA evaluates the qualifying setup and can automate the trade-management sequence according to the configuration implemented in the EA.

It is built for traders who already understand order blocks, liquidity sweeps, supply/demand zones, and institutional-style market structure and want those conditions evaluated consistently by an automated system.

Important: The exact order-entry, stop-loss, position-sizing, spread, trading-hours, and trade-management inputs depend on the EA implementation. The sections below describe the documented strategy architecture and the execution layer that should be matched to the actual EA inputs.

What sets it apart

• A complete SMC structure engine — order blocks, liquidity sweeps, and supply/demand zones built from confirmed, closed-bar price action.

• Multi-layer confirmation, not just structure. Structural setups can be cross-checked against divergence, exhaustion, absorption, and cluster confluence before execution.

• Real options-market confluence. The system can use COMEX Gold futures options data, including open interest, Max Pain, and liquidity levels, where a supported data source is configured.

• Macro-aware by design. Fundamental inputs can incorporate Fed balance-sheet data, CPI/PPI, employment data, and related macro regime information.

• Sentiment-aware. CFTC Commitment of Traders positioning and Fear & Greed inputs can be used as a contrarian filter.

• Two purpose-built signal modes. Conservative Mode uses a scoring framework for stronger confirmation, while Range-Bound Mode focuses on structural zones plus confirmation in consolidating conditions.

• Automated execution. Once a setup satisfies the EA's active rules, the EA can translate the signal into an automated trade according to its execution and risk-management settings.

• Configurable architecture. Advanced layers can remain disabled, allowing the core structure engine to operate with fewer external dependencies.

How the EA thinks

The EA should be understood as a decision pipeline rather than a single indicator signal:

Market Structure → Structural Setup → Confirmation → Confluence → Regime Check → Trade Filter → Execution → Trade Management

Each stage is intended to reduce the number of low-quality setups reaching the execution layer.

1. Copy the .ex5 file into your terminal's MQL5\Experts folder (File → Open Data Folder from within MT5). If you are installing from source, compile the .mq5 file in MetaEditor.

2. Restart or refresh the Navigator if the EA does not immediately appear.

3. Attach the EA to a gold chart. The original architecture is designed around XAUUSD, although the core structure logic may operate on other symbols depending on the implementation.

4. Confirm the symbol, timeframe, broker contract specification, and trading conditions before enabling automated trading.

5. Start with the EA's default settings. The underlying strategy architecture defaults to Range-Bound Mode in the documented build.

6. Enable Algo Trading / AutoTrading only after confirming that the EA is receiving market data correctly and all required data sources are available.

7. Monitor the Experts and Journal tabs during the first deployment. External-data failures, execution errors, rejected orders, invalid stops, or broker restrictions should be resolved before unattended operation.

8. For options-market confluence, configure one supported data path. The EA can operate without options data when that layer is disabled.

enum ENUM_SIGNAL_MODE { MODE_CONSERVATIVE, MODE_RANGEBOUND };

Conservative Mode

A point-scoring framework is used. Order block, liquidity sweep, divergence, exhaustion, absorption, cluster confluence, and options confluence can contribute to the signal score.

A trade is considered only after the score satisfies MinSignalScore and the active directional/regime filters permit the setup.

Range-Bound Mode

Range-Bound Mode is the documented default in this build. It requires:

• one structural condition: an order block or an active demand/supply zone;

• one confirmation: divergence, exhaustion, or absorption;

• a minimum score through RangeBoundMinScore (documented default: 2).

The regime filter does not block direction in Range-Bound Mode. Both directions therefore remain available even when fundamentals or sentiment establish a directional bias.

The EA version converts the signal framework into an execution process. The exact implementation of the following items must match the EA inputs provided in the compiled product:

Entry

The EA should open a position only after the active signal mode, structural rules, confirmation layer, optional confluence layers, timeframe filters, and execution filters have all been satisfied.

Stop Loss

The stop should be placed according to the EA's implemented structural-risk model. Where the original indicator logic is retained, the order block or qualifying structural zone serves as the key reference for invalidation.

Take Profit

The original architecture plots Fibonacci extension targets:

• FibTP1 = 1.618

• FibTP2 = 2.618

• FibTP3 = 4.236

The strategy architecture supports two ways to supply options-market information to the confluence layer. Only one source is required when options confluence is enabled.

Option A — FlashAlpha Live API

1. Obtain an API key from lab.flashalpha.com.

2. Set UseLiveAPI = true and enter the key in FlashAlpha_API_Key.

3. Set FlashAlpha_Expiration to the desired expiration using yyyy-MM-dd.

4. Leave FlashAlpha_Symbol at its documented default ( NEM) unless there is a specific reason to change it.

Option B — Monthly CSV from Barchart.com

This path uses literal COMEX Gold ( GC) futures-options data rather than an equity proxy.

1. Download the Gold futures options chain for the desired contract month from Barchart.

2. Save the chain as CSV.

3. The documented parser requires at least 13 comma-separated columns per row.

4. Required positions are:

   • Column 1 = Strike

   • Column 9 = Volume

   • Column 10 = Open Interest

   • Column 13 = Option Type ( C or P)

5. Place the CSV in the terminal's MQL5\Files directory.

6. Set CSV_File_Name to the exact filename.

7. Set UseLiveAPI = false.

Options Display / Confluence Settings

The original framework uses two normalized scores:

• Fundamental score: 0 = bearish for gold, 100 = bullish for gold.

• Sentiment score: 0 = extreme fear, 100 = extreme greed.

• Neutral/default value: 50.

Manual inputs

Automatically retrieved inputs

When enabled, the architecture can retrieve:

• Fed balance-sheet data from FRED;

• CPI, PPI, and unemployment data from BLS;

• broker oil-symbol pricing;

• CFTC Commitment of Traders positioning;

• JM Bullion Fear & Greed data.

Tools → Options → Expert Advisors → Allow WebRequest for listed URL

Add only the domains actually required by the configuration. The documented architecture references:https://publicreporting.cftc.gov

https://www.jmbullion.com https://api.stlouisfed.org https://api.bls.gov https://lab.flashalpha.com